Volume 11 | Issue 4 |

 Abstract

This research paper examines the impact of corporate social responsibility (CSR) on the financial performance of textile industries. The study investigates whether CSR activities, such as environmental sustainability, employee welfare, and community development, affect the financial performance of textile companies. The research uses a sample of textile firms from different countries and analyzes their financial statements and CSR reports over a period of five years. The study employs various statistical techniques, including regression analysis, to explore the relationship between CSR and financial performance. The findings of the research suggest that CSR activities positively impact the financial performance of textile industries. The study provides valuable insights into the role of CSR in enhancing financial performance and encourages companies to adopt socially responsible practices.

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 Keywords

CSR, financial performance, textile industry, sustainability, employee welfare, community development, profitability, market value, investor perception, environmental performance, return on assets, return on equity, net profit margin, corporate social responsibility, regulatory requirements, stakeholder pressure, market demands, secondary data, statistical techniques, regression analysis, descriptive statistics, control variables, ethical considerations.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: From past quakes it is demonstrated that a large number of construction are absolutely or somewhat harmed because of tremor. Thus, it is essential to decide seismic reactions of such structures. There are various methods of seismic examination of construction. Time history examination is one of the significant procedures for underlying seismic investigation by and large the assessed primary reaction is nonlinear in nature. For such kind of investigation, a delegate tremor time history is required. In this venture work seismic investigation of RCC structures with mass anomaly at various floor level are done. Here for examination different time chronicles have been utilized. This paper features the impact of mass anomaly on various floor in RCC structures with time history and examination is finished by utilizing ETABS programming

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Creative Commons Attribution 4.0 and The Open Definition

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Response spectrum method, Story drift, Base Shear, Story Shear, Story Displacement, Time period, Mode of vibration.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

food is necessary for life. The food we use must be clean, nutritious and without additives to maintain human health. This paper develops an IoT-based detection of food and formalin technology identify formalin using machine learning methods. A volatile compound HCHO gas sensor connected to a Raspberry pi3 was used to extract the formalin content of any fruit or vegetable as a function of output voltage, and various machine learning algorithms were used to classify the fruit or vegetable based on the extract. characteristics. Our system includes supervised machine learning algorithms which accurately predict the correct concentration of formalin at all temperatures, which can also be correctly classified between artificially added and naturally formed form.

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 Keywords

Adulteration, Formalin, Naturally Occurring Formalin, Formaldehyde, Machine Learning, Internet of Things, HCHO Gas Sensor, Raspberry Pi3, Supervised Machine Learning Algorithms

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Corporate social responsibility (CSR) has become an essential aspect for businesses as it aims to fulfill their obligations towards society and environment. This paper aims to investigate the impact of CSR on the financial performance of banking companies. A quantitative research method was adopted, and secondary data were collected from the annual reports of six major banking companies in the United States for the period 2016-2020. The results indicate that CSR has a positive impact on the financial performance of the banking companies. The findings suggest that banking companies need to integrate CSR activities into their business strategies to enhance their financial performance.

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 Keywords

- Corporate social responsibility ,Financial performance ,Banking industry, Return on assets ,Return on equity ,Net income ,Integration ,Business strategy ,Quantitative research ,Secondary data analysis ,United States ,Descriptive statistics ,Multiple regression analysis ,Stakeholder relations ,Meta-analysis.

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Creative Commons Attribution 4.0 and The Open Definition

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The evolution in the agricultural field has assisted modern livestock industry to raise up the scale which results in requisite for the management of cow breeding. To breed the cow, monitoring the estrus behavior is one of the important tasks. Estrus commonly addressed "heat". Estrus refers to the progenitive phase of cattle during which ovulation occurs. This is the crucial stage of the reproductive life of cows. During ovulation, artificial insemination is carried out in dairy farms by farmers. The conventional approach to find the phase of estrus is by attaching an electronic device to the cow. This device makes the cow feel uneasy. To overcome this Cowoze is designed. The main goal of this study is to detect the cow in estrus or non-estrus state by using a deep learning algorithm-based approach. Cowoze takes a sequence of images as input. It analyzes the estrus behaviors of cows and helps farmers to recognize cows in estrus phase. This model detects the cows, it's body parts and estrus behavior of cows by extracting a set of discriminative features. The model detects the estrus of cows with an accuracy of 99%.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Estrus detection, Dairy cows, Image Processing, Deep Learning Algorithm

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Background: Neck pain is a common problem in the general population with prevalence between 10% to 15%. The prevalence of neck pain between 67% to 87% usually seen in middle aged groups. Neck pain is thought to be multifactorial. Women are more affected than men. Objective: This study has been undertaken to compare the immediate effect of myofascial release technique versus strain-counterstrain technique in unilateral trapezitis in women with age group 20-40 years. Materials and Method: 64 subjects were selected with simple random sampling method fulfilling inclusion and exclusion criteria and were randomly divided into 2 groups . Group A receiving Strain counterstrain technique and Group B receiving Myofascial release technique. Result: In Statistical analysis Paired T-test was done and Numeric Pain Rating Scale (NPRS),Cervical lateral flexion (Cervical ROM) and Neck Disability Index (NDI) among Myofascial Release Technique (MFR) was found to be more significant(p value: <0.0001).Unpaired t-test was found to be significant with improvement in Numeric Pain Rating Scale (NPRS),Cervical lateral flexion (Cervical ROM) and Neck Disability Index (NDI) with a mean difference of 2.625, 2.9375, 20.75 respectively in group A and a mean difference of 3.75, 5.125, 26.875 respectively in group B. Conclusion: This study concluded that Myofascial release technique is more effective than Strain Counterstrain technique on unilateral trapezitis in women with age group 20-40 years.

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 Keywords

Numeric Pain Rating Scale (NPRS),Cervical lateral flexion (Cervical ROM) and Neck Disability Index (NDI),Myofascial Release Technique (MFR), Strain Counterstrain Technique (SCS), Myofascial trigger points (MTrPs).

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Amlapitta is a lifestyle related disease prevalent all over the world. Amlapitta is a disorder caused by habitual, irregular diet schedule and activities but also as a result of psychological and physiological aberrations. Amlapitta disease has been first described by Acharya Kashyapa, later has also been described in Madhavnidana, Yogaratnakara and Bhavaprakasha. Amlapitta has been mentioned as a separate entity in Madhav Nidana.The similar conditions have been mentioned in text like Charaka, Sushruta and Vagbhata while describing the Grahani roga and vidhagdhajirna. The ruling features of Amlapitta are Avipaka (indigestion), Urodaha (Burning in the chest), Utklesha (Nausea) Aruchi (Anorexia) and Tikta-Amlodgara (sour and bitter belching) have been described in Ayurvedic classical texts. A 30-year-old male patient came in OPD with the following complaints Tikta-Amlodgara, Urodaha, Utklesha, Aruchi. During Examination, the vitals are normal. The patient was treated with Gulduchyadi Kashaya, Avipattikara churna and Kushmanda avaleha. The patient was advised to follow up every 15th day. Along with medication, the patient was also advised to follow diet and lifestyle restrictions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agni, Amlapitta, Annavahasrotas, Hyperacidity

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Object detection, Animal detection, Forest survey

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Creative Commons Attribution 4.0 and The Open Definition

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For disaster recovery, data backup is crucial. Modern cloud-based services provide a secure infrastructure. While the data is hosted on a single cloud, data privacy is not guaranteed. Using Multi-Cloud technology is a different approach. Although employing many clouds to store lesser amounts of data can increase data privacy, doing so comes at the expense of the edge device managing various accounts and managing connectivity with numerous clouds. Due to these shortcomings, this technology was hardly used. Using cutting-edge Multi-Cloud and encryption techniques, we propose Drop Store in this paper as a user-friendly, highly secure, and dependable backup system. Drop Store uses a locally hosted device called "the Droplet," which is entirely maintained by the user, to offer an abstraction layer for the end-user to hide any system complexity. As a result, the user does not rely on any unreliable parties. Utilizing fog computing technology, this was accomplished. The combination of Multi-Cloud and Fog Computing principles gives Drop Store its distinctiveness. The system implementation is online and open-source. Performance outcomes demonstrate that the suggested method enhances data protection in terms of dependability, security, and privacy preservation while preserving a straightforward and user-friendly interface with edge devices.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

For disaster recovery, data backup, system implementation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT: Kazuo Ishiguro is a British Novelist who has explored the themes of memory and identity in most of his novels. His novel The Remains of the Day was published in the year 1989 which deals about the professionalism of the protagonist. The protagonist of the novel, Stevens is a chief butler, who embodies the values of professionalism, civility and credibility in serving his employers. Stevens represents the ideal of a professional butler, through his adherence to strict codes of conduct and his commitment to the ideas of service. Professionalism and civility are important values in the work place and they must be balanced with a sense of personal fulfillment and authenticity in order to lead a truly credible and fulfilling life. The author in his novel The Remains of the Day highlights the importance of professionalism, civility and credibility in the context of personal fulfillment and authenticity.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Professionalism, Civility and Credibility.

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Creative Commons Attribution 4.0 and The Open Definition